6 дней назад
Data Scientist Sr (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist Sr (Machine Learning): Leading analytical projects that process large structured and unstructured datasets to generate business insights, predict outcomes, and recommend actions with an accent on data mining, statistical modeling, and machine learning. Focus on designing analytical experiments, presenting data-driven findings through visualization and storytelling, and partnering with architects, analysts, engineers, and visualization experts.
Location: In-office in Pittsburgh, Pennsylvania, United States
Company
is a financial services company focused on delivering customer solutions while managing business risk.
What you will do
- Lead analytical projects using large structured and unstructured datasets to generate actionable business insights.
- Direct data gathering, processing, mining, and analysis of complex datasets.
- Develop algorithms using mathematical, statistical, and machine learning techniques to predict business outcomes and recommend actions.
- Lead analytical experiments to identify opportunities for product and process optimization.
- Present insights to management through data visualization and storytelling.
- Partner with data architects, analysts, engineers, and visualization experts to build data-driven solutions.
Requirements
- Master's degree preferred.
- 5+ years of industry-relevant experience, or an equivalent combination of education, certifications, and experience.
- Experience with data science, data analytics, data mining, machine learning, and analytical thinking.
- Knowledge of data architecture, data modeling, prototyping, and query and database access tools.
- Must work in the Pittsburgh office; will not provide employment visa sponsorship or participate in STEM OPT for this position.
Culture & Benefits
- Inclusive workplace focused on customer needs, collaboration, and risk management.
- Medical, dental, vision, life, disability, and health savings account options for eligible full-time employees.
- 401(k) match, pension, stock purchase plans, dependent care support, and educational assistance.
- Paid holidays, occasional absence days, parental leave, and 15–25 vacation days depending on career level and service.
- Wellness programs with financial incentives and reasonable accommodation support.
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